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A general multimedia representation space model toward event-based collective knowledge management

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dc.contributor.author Tekli, Joe
dc.contributor.author Abebe, Minale A.
dc.contributor.author Getahun, Fekade
dc.contributor.author Tekli, Gilbert
dc.contributor.author Chbeir, Richard
dc.date.accessioned 2018-02-08T12:50:45Z
dc.date.available 2018-02-08T12:50:45Z
dc.date.copyright 2016 en_US
dc.identifier.isbn 978-1-5090-3593-9
dc.identifier.uri http://hdl.handle.net/10725/7056
dc.description.abstract Emergent technologies such as smart phones and wireless Internet have transformed the Web from a static data publishing platform into a collaborative information sharing environment. Yet, attaining the next stage in Web engineering, i.e., the so-called Intelligent Web: allowing meaningful human-machine and machine-machine collaboration, requires another breakthrough: allowing the sharing and organization of collective knowledge (CK), where CK underlines the combination of all known data, information, and meta-data concerning a given concept or event. In this context, various methods have been put forward to perform automatic event extraction and description. Yet, most of them do not capture the semantic meaning embedded in Web-based multimedia data, which are usually highly heterogeneous and unstructured. To address this problem, we introduce in this study a generic Multimedia Representation Space Model called MRSM, designed for multimedia data and multimedia-based event representation, in order to allow event detection and identification based on multimedia CK. We formally define MRSM, its dimensions, their coordinates, and the associated distance (similarity) metrics and properties. We then provide the building blocks for an Eventbased Collective Knowledge (CK) Management Framework, built upon MRSM, and geared toward effective CK management. The proposed approach provides a means of extracting, representing, and linking events from heterogeneous multimedia data without any prior knowledge about event-related clues. Preliminary tests confirm the quality and potential of our approach. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title A general multimedia representation space model toward event-based collective knowledge management en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOE en_US
dc.author.idnumber 201306321 en_US
dc.author.department Electrical And Computer Engineering en_US
dc.description.embargo N/A en_US
dc.keywords Multimedia communication en_US
dc.keywords Social network services en_US
dc.keywords Event detection en_US
dc.keywords Semantics en_US
dc.keywords Videos en_US
dc.keywords Collaboration en_US
dc.keywords Knowledge engineering en_US
dc.identifier.doi http://dx.doi.org/10.1109/CSE-EUC-DCABES.2016.234 en_US
dc.identifier.ctation Abebe, M. A., Tekli, J., Getahun, F., Tekli, G., & Chbeir, R. (2016, August). A General Multimedia Representation Space Model toward Event-Based Collective Knowledge Management. In Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES), 2016 IEEE Intl Conference on (pp. 512-521). IEEE. en_US
dc.author.email joe.tekli@lau.edu.lb en_US
dc.conference.date 24-26 Aug. 2016 en_US
dc.conference.place Paris, France en_US
dc.conference.title 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://ieeexplore.ieee.org/abstract/document/7982296/ en_US
dc.publication.date 2016 en_US
dc.author.affiliation Lebanese American University en_US


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